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Stain removal in 2D images with globally varying textures

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Abstract

In this paper, we deal with the problem of removing stains in an image that may contain globally varying textures. In general, Image inpainting and texture synthesis are two possible techniques that may be used to address this issue; however, each has its limitation. In this work, we propose an approach that helps to address this problem, especially when the target image portions to be repaired may consist of globally varying textures, that is, textures that are not stationary, but vary globally across images due to lighting conditions or composing materials. We have developed methods to first detect regions with stains and then remove the stains to obtain a newer look for the input image. Results are shown and compared with those of others if applicable to prove the effectiveness of proposed approaches.

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Authors and Affiliations

  1. Department of Information Management, National Taiwan University of Science and Technology, 43, Section 4, Keelung Road, Taipei, 10607, Taiwan

    Chuan-Kai Yang & Yu-Chih Yeh

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  1. Chuan-Kai Yang
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  2. Yu-Chih Yeh
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Correspondence to Chuan-Kai Yang.

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Yang, CK., Yeh, YC. Stain removal in 2D images with globally varying textures. SIViP 8, 1373–1382 (2014). https://doi.org/10.1007/s11760-012-0364-7

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  • DOI: https://doi.org/10.1007/s11760-012-0364-7

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